• Etiologie

  • Facteurs endogènes

  • Système nerveux central

Implications of EGFR Genetic Variants on Glioma Risk and Patient Outcome

Menée au Portugal (196 cas, 168 témoins), cette étude évalue l'association entre des polymorphismes des gènes EGFR, le risque de gliome et la survie des patients

Background: The epidermal growth factor receptor (EGFR) regulates important cellular processes and is frequently implicated in human tumors. Three EGFR polymorphisms have been described as having a transcriptional regulatory function: two single nucleotide polymorphisms in the essential promoter region, -216G/T and -191C/A, and a polymorphic (CA)n microsatellite sequence in intron 1. We aimed to elucidate the roles of these EGFR polymorphisms in glioma susceptibility and prognosis. Methods: We conducted a case-control study with 196 glioma patients and 168 cancer-free controls. Unconditional multivariate logistic regression models were used to calculate odds ratio and 95% confidence intervals. A Cox-regression model was used to evaluate associations with patient survival. False-positive report probabilities were also assessed. Results: None of the EGFR -216G/T variants was significantly associated with glioma risk. The -191CA genotype was associated with higher risk for glioma when the (CA)n alleles were classified as short for ≤16 or ≤17 repeats. Independently of the (CA)n repeat cut-off used, shorter (CA)n repeat variants were significantly associated with increased risk for glioma, particularly glioblastoma and oligodendroglioma. In all tested models with different (CA)n cut-offs, only -191CA genotype was consistently associated with improved survival of glioblastoma patients. Conclusions: Our findings implicate EGFR -191C/A and the (CA)n repeat polymorphisms as risk factors for gliomas, and suggest -191C/A as a prognostic marker in glioblastoma. Impact: Our data support a role of these EGFR polymorphisms in determining glioma susceptibility, with potential relevance for molecularly-based stratification of glioblastoma patients for individualized therapies.

Cancer Epidemiology Biomarkers & Prevention

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